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MyWAL: performance optimization by removing redundant input/output stack in key-value store Research Article

Xiao ZHANG, Mengyu LI, Michael NGULUBE, Yonghao CHEN, Yiping ZHAO,zhangxiao@nwpu.edu.cn,limy@mail.nwpu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 7,   Pages 980-993 doi: 10.1631/FITEE.2200496

Abstract: However, synchronous WAL significantly reduces writing performance.In this paper, we present a new WAL mechanism named MyWAL.These can avoid useless metadata updating and write data sequentially on disks.MyWAL can significantly improve the data writing performance of RocksDB compared to the traditional WAL

Keywords： Key-value (KV) store     Log-structured merge (LSM) tree     Non-volatile memory (NVM)     Non-volatile memoryexpress soild-state drive (NVMe SSD)     Write-ahead log (WAL)    

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Additive direct-write microfabrication for MEMS: A review

Kwok Siong TEH

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 4,   Pages 490-509 doi: 10.1007/s11465-017-0484-4

Abstract:

Direct-write additive manufacturing refers to a rich and growing repertoire of well-established fabricationAt the macroscale, direct-write techniques such as stereolithography, selective laser sintering, fusedThe technological premises of all direct-write additive manufacturing are identical—convertingWhile still at its infancy, direct-write additive manufacturing techniques at the microscale have thetraditional MEMS processes that rely heavily on expensive equipment and time-consuming steps, direct-write

Keywords： direct-write     additive manufacturing     microfabrication     MEMS    

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Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

Frontiers in Energy 2016, Volume 10, Issue 1,   Pages 105-113 doi: 10.1007/s11708-016-0393-y

Abstract: This paper proposes the day-ahead electricity price forecasting using the artificial neural networks

Keywords： day-ahead electricity markets     price forecasting     load forecasting     artificial neural networks     load serving    

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Erratum to: Past review, current progress, and challenges ahead on the cocktail party problem

Yan-min QIAN, Chao WENG, Xuan-kai CHANG, Shuai WANG, Dong YU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4, doi: 10.1631/FITEE.17e0814

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Ahead geological forecasting technology of Bieyancao Tunnel on Yichang-Wanzhou Railway

Ren Shaoqiang

Strategic Study of CAE 2010, Volume 12, Issue 8,   Pages 99-106

Abstract: The article introduced that with the help of comprehensive ahead geological forecasting ,this tunnel

Keywords： risky tunnel     Karst cave     underground river     comprehensive ahead geological forecasting    

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Instrument Industry Needs to Develop Ahead of Time

Strategic Study of CAE 2002, Volume 4, Issue 10,   Pages 94-94

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A prediction formula of water temperature released from the multi-level stop-log gate intake of hydropower

Gao Xueping,Chen Hong,Song Huifang

Strategic Study of CAE 2011, Volume 13, Issue 12,   Pages 63-67

Abstract:

In thermally stratified reservoir, a multi-level intake structure is usually adopted in hydropower station to reduce the negative effect of releasing lower-temperature water to the environment in downstream reach. And a simple and practical formula of water temperature released is need. In this paper, based on Nuozhadu Hydropower Station, a model test is conducted to model the thermal stratification of this reservoir, and measure the temperature of water released from the intake structure. A prediction formula of water temperature released is put forward based on the experimental data. The formula is validated by the experimental results of water temperature released from the intakes of Jinping No.1 Hydropower Station.

Keywords： thermally stratified reservoir     hydropower station intake     stop-log gate     formula of water temperature    

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Erratum to: Past review, current progress, and challengesahead on the cocktail party problem Regular Papers

Yan-min QIAN, Chao WENG, Xuan-kai CHANG, Shuai WANG, Dong YU

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 3, doi: 10.1631/FITEE.19e0001

Abstract:

Keywords： None    

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Developing the QSPR model for predicting the storage lipid/water distribution coefficient of organic compounds

Miao Li, Jian Li, Yuchen Lu, Cenyang Han, Xiaoxuan Wei, Guangcai Ma, Haiying Yu

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 2, doi: 10.1007/s11783-020-1316-z

Abstract: . • Hydrophobic and electrostatic interactions and molecular size dominate log Klip/w. • The model canbe used in a wide application domain to predict log Klip/w values.The storage lipid/water distribution coefficient (log Klip/w) of organic chemicals, which quantitativelyof small organic compounds was constructed based on 305 experimental log Klip/w values.partitioning coefficient were employed to characterize the intermolecular interactions that dominate log

Keywords： Storage lipid/water distribution coefficient     log Klip/w     Organic compounds     QSPR     Quantum    

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Active Machine Learning for Chemical Engineers: A Bright Future Lies Ahead! Perspective

Yannick Ureel, Maarten R. Dobbelaere, Yi Ouyang, Kevin De Ras, Maarten K. Sabbe, Guy B. Marin, Kevin M. Van Geem

Engineering 2023, Volume 27, Issue 8,   Pages 23-30 doi: 10.1016/j.eng.2023.02.019

Abstract: A bright future lies ahead for active machine learning in chemical engineering, thanks to increasing

Keywords： Active machine learning     Active learning     Bayesian optimization     Chemical engineering     Design of experiments    

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ShortTail: taming tail latency for erasure-code-based in-memory systems Research Article

Yun TENG, Zhiyue LI, Jing HUANG, Guangyan ZHANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 11,   Pages 1646-1657 doi: 10.1631/FITEE.2100566

Abstract: Finally, ShortTail posts an adaptive write strategy to reduce write amplification of s.

Keywords： Erasure code     In-memory system     Node fail-slow     Small write     Tail latency    

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Carbon Capture and Storage: History and the Road Ahead Review

Jinfeng Ma, Lin Li, Haofan Wang, Yi Du, Junjie Ma, Xiaoli Zhang, Zhenliang Wang

Engineering 2022, Volume 14, Issue 7,   Pages 33-43 doi: 10.1016/j.eng.2021.11.024

Abstract:

The large-scale deployment of carbon capture and storage (CCS) is becoming increasingly urgent in the global path toward net zero emissions; however, global CCS deployment is significantly lagging behind its expected contribution to greenhouse gas emission reduction. Reviewing and learning from the examples and history of successful CCS practices in advanced countries will help other countries, including China, to promote and deploy CCS projects using scientific methods. This paper shows that the establishment of major science and technology CCS infrastructures in advanced countries has become the main source of CCS technological innovation, cost reduction, risk reduction, commercial promotion, and talent training in the development and demonstration of key CCS technologies. Sound development of CCS requires a transition from pilot-scale science and technology infrastructures to large-scale commercial infrastructures, in addition to incentive policies; otherwise, it will be difficult to overcome the technical barriers between small-scale demonstrations and the implementation of million-tonne-scale CCS and ten-million-tonne-scale CCS hubs. Geological CO2 storage is the ultimate goal of CCS projects and the driving force of CO2 capture. Further improving the accuracy of technologies for the measurement, monitoring, and verification (MMV) of CO2 storage capacity, emission reduction, and safety remains a problem for geological storage. CO2 storage in saline aquifers can better couple multiple carbon emission sources and is currently a priority direction for development. Reducing the energy consumption of lowconcentration CO2 capture and the depletion of chemical absorbents and improving the operational efficiency and stability of post-combustion CO2 capture systems have become the key constraints to largescale CCS deployment. Enhanced oil recovery (EOR) is also important in order for countries to maximize fossil fuel extraction instead of importing oil from less environmentally friendly oil-producing countries.

Keywords： CCS research facility     Net GHG emission reduction     Energy consumption     Monitoring    

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Past review, current progress, and challenges ahead on the cocktail party problem Review

Yan-min QIAN, Chao WENG, Xuan-kai CHANG, Shuai WANG, Dong YU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1,   Pages 40-63 doi: 10.1631/FITEE.1700814

Abstract: The cocktail party problem, i.e., tracing and recognizing the speech of a specific speaker when multiple speakers talk simultaneously, is one of the critical problems yet to be solved to enable the wide application of automatic speech recognition (ASR) systems. In this overview paper, we review the techniques proposed in the last two decades in attacking this problem. We focus our discussions on the speech separation problem given its central role in the cocktail party environment, and describe the conventional single-channel techniques such as computational auditory scene analysis (CASA), non-negative matrix factorization (NMF) and generative models, the conventional multi-channel techniques such as beamforming and multi-channel blind source separation, and the newly developed deep learning-based techniques, such as deep clustering (DPCL), the deep attractor network (DANet), and permutation invariant training (PIT). We also present techniques developed to improve ASR accuracy and speaker identification in the cocktail party environment. We argue effectively exploiting information in the microphone array, the acoustic training set, and the language itself using a more powerful model. Better optimization objective and techiques will be the approach to solving the cocktail party problem.

Keywords： Cocktail party problem     Computational auditory scene analysis     Non-negative matrix factorization     Permutation invariant training     Multi-talker speech processing    

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Title Author Date Type Operation

MyWAL: performance optimization by removing redundant input/output stack in key-value store

Xiao ZHANG, Mengyu LI, Michael NGULUBE, Yonghao CHEN, Yiping ZHAO,zhangxiao@nwpu.edu.cn,limy@mail.nwpu.edu.cn

Journal Article

Additive direct-write microfabrication for MEMS: A review

Kwok Siong TEH

Journal Article

Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

Journal Article

Erratum to: Past review, current progress, and challenges ahead on the cocktail party problem

Yan-min QIAN, Chao WENG, Xuan-kai CHANG, Shuai WANG, Dong YU

Journal Article

Ahead geological forecasting technology of Bieyancao Tunnel on Yichang-Wanzhou Railway

Ren Shaoqiang

Journal Article

Instrument Industry Needs to Develop Ahead of Time

Journal Article

A prediction formula of water temperature released from the multi-level stop-log gate intake of hydropower

Gao Xueping,Chen Hong,Song Huifang

Journal Article

Erratum to: Past review, current progress, and challengesahead on the cocktail party problem

Yan-min QIAN, Chao WENG, Xuan-kai CHANG, Shuai WANG, Dong YU

Journal Article

Developing the QSPR model for predicting the storage lipid/water distribution coefficient of organic compounds

Miao Li, Jian Li, Yuchen Lu, Cenyang Han, Xiaoxuan Wei, Guangcai Ma, Haiying Yu

Journal Article

Active Machine Learning for Chemical Engineers: A Bright Future Lies Ahead!

Yannick Ureel, Maarten R. Dobbelaere, Yi Ouyang, Kevin De Ras, Maarten K. Sabbe, Guy B. Marin, Kevin M. Van Geem

Journal Article

ShortTail: taming tail latency for erasure-code-based in-memory systems

Yun TENG, Zhiyue LI, Jing HUANG, Guangyan ZHANG

Journal Article

Carbon Capture and Storage: History and the Road Ahead

Jinfeng Ma, Lin Li, Haofan Wang, Yi Du, Junjie Ma, Xiaoli Zhang, Zhenliang Wang

Journal Article

Past review, current progress, and challenges ahead on the cocktail party problem

Yan-min QIAN, Chao WENG, Xuan-kai CHANG, Shuai WANG, Dong YU

Journal Article